{"id":"W4410204421","doi":"10.1007/s44155-025-00221-5","title":"Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis","year":2025,"lang":"en","type":"article","venue":"Discover Social Science and Health","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Pandemic; Artificial neural network; Coronavirus disease 2019 (COVID-19); Computer science; Artificial intelligence; Medicine; Disease; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004832429,0.0007647408,0.0006310092,0.0008385238,0.0001442163,0.0004615948,0.0006064972,0.0005101757,0.0009725907],"category_scores_gemma":[0.001568623,0.0002009082,0.0005370887,0.0003205961,0.0001206039,0.0005980933,0.000506706,0.0006362452,0.0004854424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975971,"about_ca_system_score_gemma":0.0005318522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005684435,"about_ca_topic_score_gemma":0.007399234,"domain_scores_codex":[0.9997339,0.00005745035,0.00002994985,0.00007082638,0.000049544,0.00005830271],"domain_scores_gemma":[0.9994825,0.0001773065,0.0001046927,0.00002788875,0.0001637467,0.00004378557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00193025,0.0008404909,0.1335855,0.0005902486,0.0004743478,0.001757245,0.0003243547,0.204554,0.04089903,0.001427775,0.01751965,0.5960971],"study_design_scores_gemma":[0.00001879084,0.000166916,0.01237868,0.0000276253,0.0000647202,0.0001768563,0.00006187724,0.9813806,0.004300222,0.0007448575,0.0006581634,0.00002073553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467733,0.003667827,0.2313733,0.00154904,0.0004518713,0.0002335134,0.003822102,0.004413191,0.007715865],"genre_scores_gemma":[0.9787465,0.000435727,0.01749778,0.0001572989,0.00007045081,0.00004470441,0.001706308,0.00001901291,0.0013222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005684435,"threshold_uncertainty_score":0.01130271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104850497529888,"score_gpt":0.3459778127458909,"score_spread":0.324929307770592,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}